Innovative Solutions & Support (IA) EV to EBITDA (2011 - 2026)
Innovative Solutions & Support's (IA) EV to EBITDA came in at 10.51 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 15.2% from 12.39 a year earlier and down 22.5% from the prior quarter.
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Analysis
Innovative Solutions & Support (IA) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Innovative Solutions & Support was 9.91, down 19.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 9.20, down 4.9% from FY2024.
- Annual EV to EBITDA has declined for five consecutive fiscal years.
- In prior fiscal years, Innovative Solutions & Support's EV to EBITDA was 9.68 in FY2024 (-39.8%), 16.08 in FY2023 (-7.8%), 17.43 in FY2022 (-33.0%) and 26.03 in FY2021 (-21.3%).
- Quarterly EV to EBITDA has run from a low of 6.08 in fiscal Q2 2025 to a high of 26.03 in fiscal Q4 2021 over five years.
- On a year-over-year basis, EV to EBITDA increased in two of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q2 2026, with growth of 123.0%; the weakest was fiscal Q2 2025, with a decline of 53.5%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 13.56 (Q2 2026), 11.56 (Q1 2026) and 9.20 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Innovative Solutions & Support | 338.29 Mn | 309.86 Mn | 13.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.51 |
| Mar 31, 2026 | 13.56 |
| Dec 31, 2025 | 11.56 |
| Sep 30, 2025 | 9.20 |
| Jun 30, 2025 | 12.39 |
| Mar 31, 2025 | 6.08 |
| Dec 31, 2024 | 11.99 |
| Sep 30, 2024 | 9.68 |
| Jun 30, 2024 | 9.65 |
| Mar 31, 2024 | 13.07 |
| Dec 31, 2023 | 16.13 |
| Sep 30, 2023 | 16.08 |
| Jun 30, 2023 | 19.29 |
| Mar 31, 2023 | 16.51 |
| Dec 31, 2022 | 17.80 |
| Sep 30, 2022 | 17.43 |
| Jun 30, 2022 | 15.35 |
| Mar 31, 2022 | 19.09 |
| Dec 31, 2021 | 18.82 |
| Sep 30, 2021 | 26.03 |
API Access
Innovative Solutions & Support EV to EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=IA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "IA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=IA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();